Episode 41 — Notify and escalate during AI incidents with the right triggers (Task 16)
This episode covers Task 16 by teaching how to notify and escalate during AI incidents using the right triggers, because AAISM often tests whether you can recognize when an AI issue crosses the threshold from “operational anomaly” to “security incident” that requires formal governance, legal, privacy, or executive involvement. You’ll define escalation triggers such as confirmed or suspected sensitive data exposure through prompts or outputs, unauthorized access to model endpoints or connected data sources, evidence of prompt injection or jailbreak attempts at scale, unexpected vendor behavior that impacts confidentiality, and safety failures that create harm or regulatory risk. We’ll use a scenario where a customer chatbot begins revealing internal ticket summaries, and you’ll practice deciding who must be notified first, what facts must be confirmed before broad communication, and how to preserve evidence while reducing ongoing impact. Best practices include predefined severity thresholds, clear ownership pathways, and a cadence for updates that stays accurate as new evidence emerges. Produced by BareMetalCyber.com, where you’ll find more cyber audio courses, books, and information to strengthen your educational path. Also, if you want to stay up to date with the latest news, visit DailyCyber.News for a newsletter you can use, and a daily podcast you can commute with.
